ECCV 2024 W-CODA

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ECCV 2024 W-CODA

1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving

Preprint (2025)

Author(s)

Kai Chen (Hong Kong University of Science and Technology)

Ruiyuan Gao (The Chinese University of Hong Kong)

Lanqing Hong (Huawei Noah’s Ark Lab)

Hang Xu (Huawei Noah’s Ark Lab)

Jia Xu (Dalian University of Technology)

Holger Caesar (TU Delft - Intelligent Vehicles)

undefined More Authors (External organisation)

Research Group

Intelligent Vehicles

Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition Computation and Language

DOI related publication

https://doi.org/10.48550/arXiv.2507.01735 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:3f20c820-2c65-48f3-87a7-48853362276c

More Info

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Publication Year

2025

Language

English

Research Group

Intelligent Vehicles

Publisher

ArXiv

Downloads counter

39

Abstract

In this paper, we present details of the 1st W-CODA workshop, held in
conjunction with the ECCV 2024. W-CODA aims to explore next-generation
solutions for autonomous driving corner cases, empowered by
state-of-the-art multimodal perception and comprehension techniques. 5
Speakers from both academia and industry are invited to share their
latest progress and opinions. We collect research papers and hold a
dual-track challenge, including both corner case scene understanding and
generation. As the pioneering effort, we will continuously bridge the
gap between frontier autonomous driving techniques and fully
intelligent, reliable self-driving agents robust towards corner cases.